A differential privacy-preserving federated learning scheme with predictive maintenance of wind turbines based on deep learning for feature compression and anomaly detection with state assessment-Reference-Cited by-同舟云学术

A differential privacy-preserving federated learning scheme with predictive maintenance of wind turbines based on deep learning for feature compression and anomaly detection with state assessment

Published:2024-07 Issue:7 Volume:38 Page:3413-3429
ISSN:1738-494X
Container-title:Journal of Mechanical Science and Technology
language:en
Short-container-title:J Mech Sci Technol

Author:

Chen Huan,Hsu Hsin-Yao,Hsieh Jia-You,Hung Hsiang-En

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12206-024-0616-9.pdf

Reference65 articles.

1. Q. Wang, R. Huang and R. Li, Towards smart energy systems–a survey about the im-pact of COVID-19 pandemic on renewable energy research, Energy Strategy Reviews, 41 (2022) 100845, doi: https://doi.org/10.1016/j.esr.2022.100845.

2. J. An, Z. Zou, G. Chen, Y. Sun, R. Liu and L. Zheng, An IoT-based life cycle as-sessment platform of wind turbines, Sensors, 21 (4) (2021) 1233, doi: https://doi.org/10.3390/s21041233.

3. Bureau of Energy, Energy Statistical Annual Report (Balance Sheet) - Energy Indicators - 2-01 Energy Supply, Bureau of Energy, Ministry of Economic Affairs, R.O.C. (2021) https://www.esist.org.tw/upload/1-01.%E8%83%BD%E6%BA%90%E6%8C%87%E6%A8%99(110)_v110.xlsx, Accessed on April 6th, 2022 (in Chinese).

4. Bureau of Energy, Energy Statistics Monthly Report - Renewable Energy - Energy Indica-tors - 4-01 Renewable Energy Power Generation, Bureau of Energy, Ministry of Economic Affairs, R.O.C. (2021) https://www.esist.org.tw/upload/4-01%E5%86%8D%E7%94%9F%E8%83%BD%E6%BA%90%E7%99%BC%E9%9B%BB%E9%87%8F(11105)_v110.xlsx, Accessed on April 7th, 2022 (in Chinese).

5. R. Hou, G. Ren, C. Zhou, H. Yue, H. Liu and J. Liu, Analysis and research on network security and privacy security in ubiquitous electricity internet of things, Computer Communications, 158 (2020) 64–72, doi:https://doi.org/10.1016/j.comcom.2020.04.019.